
Morgan Stanley Data and Business Analytics interview typically runs 4 rounds: application, online assessment, technical interview, and senior manager/profile review. It usually takes a few weeks and is notably resume-heavy and practical.
$105K
Avg. Base Comp
$136K
Avg. Total Comp
3
Typical Rounds
2-4 weeks
Process Length
This guide is framed as a Data and Business Analytics interview because the available evidence sits in the broader analytics family rather than a cleanly separate Business Analyst lane.
Our candidates report that Morgan Stanley is looking for people who can move comfortably between analysis and explanation. The technical work is real, but it is rarely isolated from the business context: one candidate described an assessment with data analysis and coding, then a technical conversation that still centered on whether they could think clearly and stay organized under pressure. What stands out is the emphasis on structured problem solving over flashy tricks. They want to see that you can reason through a task, explain your choices, and keep the work grounded in how the answer would be used in a financial setting.
A recurring theme is how heavily the firm leans on your own background. Multiple candidates reported that the later conversations became a detailed review of past projects, internships, and even a live demo of personal work. That tells us Morgan Stanley is screening for credible, transferable experience — not just whether you’ve done the task before, but whether you can connect it to real-world applications and speak about it with precision. The behavioral side also stays practical, with questions about motivation, strengths, weaknesses, and five-year plans, which suggests they care about maturity and fit as much as technical readiness.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Morgan Stanley process.
The part that stood out most to me was how much the process mixed technical work with a very resume-heavy conversation. I started with an application and an online assessment that had data analysis questions plus about five or six coding questions. That was followed by two interviews. The first interview was the technical one, and it focused on coding as well as general technical depth. It felt pretty straightforward in the sense that they wanted to see whether I could think through the problem and explain my approach clearly, but it was still time-pressured enough that I had to stay organized. The second interview was more of a profile review with a senior engineer or manager, and that was where they dug into my background in detail.
That round was less about algorithms and more about whether my experience actually matched the role. They asked about my past projects, my internship experience, and how those experiences connected to real-world applications. I was even asked to demo a website I had built, so it helped a lot to be ready to talk through something concrete from my own work. In a separate set of interviews for a similar analyst track, there was also a screening call followed by two manager interviews and a logical test that mixed math, problem solving, and a psychological component. The manager conversations were mostly standard behavioral questions like why I applied, what my five-year plan was, and why I was leaving my current employer. Overall, the process felt structured and fairly practical rather than overly trick-question heavy. I ended up receiving an offer, and my main takeaway is to prepare both for coding/data analysis basics and for a very detailed walkthrough of your resume and projects, including being able to explain how your work would apply in a business setting.
Prep tip from this candidate
Be ready for an online assessment with data analysis plus 5–6 coding questions, and practice explaining a project demo clearly because the interview included a live walkthrough of a website I built. Also prepare crisp answers for resume-based questions about past internships, why you’re applying, and your five-year plan.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Morgan Stanley
Find the missing integer from a array of consequtive integers
| Question | |
|---|---|
| Size of Joins | |
| Cyclic Detection | |
| Sort Strings | |
| Assumptions of Linear Regression | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Cumulative Distribution | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| Bagging vs Boosting | |
| Employee Salaries | |
| 500 Cards | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Subscription Overlap | |
| Paired Products | |
| Hurdles In Data Projects | |
| Slacking Employees Salaries | |
| P-value to a Layman | |
| Over 100 Dollars | |
| Minimum Change | |
| Compute Deviation | |
| Total Spent on Products | |
| Google Maps Improvement | |
| Last Transaction | |
| Department Expenses |
Synthesized from candidate reports. Individual experiences may vary.
The process begins with an application followed by an online assessment. The assessment includes data analysis questions and about five to six coding questions, along with a logical test in some cases that mixes math, problem solving, and a psychological component.
This round focuses on coding and general technical depth. Candidates are expected to think through problems clearly, explain their approach, and stay organized under time pressure.
The final interview is a detailed review of the candidate's background with a senior engineer or manager. It centers on past projects, internship experience, and how that experience connects to real-world business applications, often including discussion of a concrete work sample or website demo.